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Customer Review

46 of 55 people found the following review helpful
3.0 out of 5 stars Great insights, but a hard read, 14 Jun. 2007
This review is from: Pattern Recognition and Machine Learning (Information Science and Statistics) (Hardcover)
This new book by Chris Bishop covers most areas of pattern recognition quite exhaustively. The author is an expert, this is evidenced by the excellent insights he gives into the complex math behind the machine learning algorithms. I have worked for quite some time with neural networks and have had coursework in linear algebra, probability and regression analysis, and hence found some of the stuff in the book quite illuminating.

But that said, I must point out that the book is very math heavy. Inspite of my considerable background in the area of neural networks, I still was struggling with the equations. This is certainly not the book that can teach one things from the ground up, and thats why I would give it only 3 stars. I am new to kernels, and I am finding the relevant chapters quite confusing. For those who want to build powerful machine learning solutions to their problems, I am sorry but they will have to look elsewhere. This book cant help you build an application, another serious drawback in my opinion. The intended audience for this book I guess are PhD students/researchers who are working with the math related aspects of machine learning, and not undergraduates or working professionals who want to write machine learning code for their applications/projects.
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Showing 1-1 of 1 posts in this discussion
Initial post: 28 Nov 2015 18:10:31 GMT
Raymond Liu says:
Agreed:
1. This book is maths heavy and can be difficult to read.
2. This is a book for postgraduates and theoraticians rather than undergrads and industrial practitioners.
3. Especially regarding practitioners, this book doesn't tell you how to build a system at all, for example it has no code samples and barely mentions programming at all.

All that said, bare in mind that it was very clear from the outset whom this book is intended for. Also, saying that a book on machine learning is too maths-heavy is a bit like saying a hiphop tune is a bit rhythm-heavy. Of course machine learning is maths-heavy, that's how you learn it properly. If you want to learn machine learning and pattern recognition, you better brush up on your maths.
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